Devops

Developers never really voiced any major desire to enter the age of AI coding; they always appeared quite happy to […]

North Korean hackers are accused of hijacking the npm account of an axios maintainer, a highly popular and widely used

Amazon Web Services (AWS) today made a pair of artificial intelligence (AI) agents to manage DevOps workflows and conduct penetration

Harness today expanded its continuous delivery (CD) platform to add capabilities such as release orchestration and automated rollback that make

The incorporation of AI into engineering work — through code completion, test generation, refactoring assistance and documentation support — continues to drive

Here’s a scenario every developer recognizes: You push code at 3 p.m., grab a coffee and return to a red

People are used to digital services operating immediately, across various places, devices and systems. Should something break down, it is usually

Apache Iceberg has effectively won the open table format conversation. AWS, Google Cloud, Microsoft, Snowflake, Databricks — every major platform

Lightrun has added an ability to dynamically pull missing telemetry evidence from live application environments without having to deploy additional

Security teams have spent years building detection and response capabilities around a failure mode they understood well enough to instrument for. Typically, a service misbehaves, an alert fires and an engineer investigates. This kind of model worked because the systems producing the failures were deterministic enough that misbehavior was visible, measurable and attributable to a cause that a runbook could address. However, what agentic systems have introduced into that environment is a category of failure that looks nothing like the one the detection infrastructure was built to catch — a failure that completes successfully, logs nothing unusual, returns a clean status code and disappears into the transaction history while the damage it caused propagates quietly through every system the agent touched. “The governance gap this creates is not a configuration problem that a new tool can close,” says Shahid Ali Khan, principal engineer – DevOps at TestMu AI, an AI-native software testing platform. It is structural, rooted in